Codebook for EA Survey, 2014

#eval=params$runcodebooks

codebook(d$eas_14, survey_repetition = "single", metadata_table = TRUE) #Gerhard: this could also create an html; or make this as a separate markdown. It takes a long time to run... so maybe don't do it here

Metadata

Description

Dataset name: d$eas_14

The dataset has N=1602 rows and 53 columns. 17 rows have no missing values on any column.

Metadata for search engines

• Date published: 2021-03-12

x id referrer_url heard_ea is_ea metaethics cause_import_poverty cause_import_environmentalism cause_import_animals cause_import_rationality cause_import_politics cause_import_ai cause_import_xrisk cause_import_non_ai_far_future cause_import_cause_prioritization cause_import_meta cause_import_other diet first_heard_EA invovled_personal_contact involved_80K involved_TLYCS involved_lesswrong involved_GWWC involved_givewell involved_friends involved_online_ea involved_local_EA friendcount donate_2013_c income_2013_c donate_80K donate_amf donate_ace donate_cea donate_cfar donate_dtw donate_gd donate_gw donate_gwwc donate_thl donate_leverage donate_miri donate_phc donate_sci donate_vo career_path age gender student country city religion ea_id

#Variables

id

Distribution

Distribution of values for id

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
id	numeric	0	1	1418	2224	3029	2225	466	▇▇▇▇▇	NA

referrer_url

Distribution

Distribution of values for referrer_url

688 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
referrer_url	character	688	0.57	37	0	24	113	0	NA

heard_ea

Distribution

Distribution of values for heard_ea

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
heard_ea	character	0	1	3	0	2	3	0	NA

is_ea

Distribution

Distribution of values for is_ea

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
is_ea	character	0	1	3	0	2	3	0	NA

metaethics

Distribution

Distribution of values for metaethics

1204 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
metaethics	character	1204	0.25	5	0	5	44	0	NA

cause_import_poverty

Distribution

Distribution of values for cause_import_poverty

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
cause_import_poverty	character	0	1	3	0	2	3	0	NA

cause_import_environmentalism

Distribution

Distribution of values for cause_import_environmentalism

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
cause_import_environmentalism	character	0	1	3	0	2	3	0	NA

cause_import_animals

Distribution

Distribution of values for cause_import_animals

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
cause_import_animals	character	0	1	3	0	2	3	0	NA

cause_import_rationality

Distribution

Distribution of values for cause_import_rationality

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
cause_import_rationality	character	0	1	3	0	2	3	0	NA

cause_import_politics

Distribution

Distribution of values for cause_import_politics

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
cause_import_politics	character	0	1	3	0	2	3	0	NA

cause_import_ai

Distribution

Distribution of values for cause_import_ai

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
cause_import_ai	character	0	1	3	0	2	3	0	NA

cause_import_xrisk

Distribution

Distribution of values for cause_import_xrisk

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
cause_import_xrisk	character	0	1	3	0	2	3	0	NA

cause_import_non_ai_far_future

Distribution

Distribution of values for cause_import_non_ai_far_future

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
cause_import_non_ai_far_future	character	0	1	3	0	2	3	0	NA

cause_import_cause_prioritization

Distribution

Distribution of values for cause_import_cause_prioritization

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
cause_import_cause_prioritization	character	0	1	3	0	2	3	0	NA

cause_import_meta

Distribution

Distribution of values for cause_import_meta

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
cause_import_meta	character	0	1	3	0	2	3	0	NA

cause_import_other

Distribution

Distribution of values for cause_import_other

1548 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
cause_import_other	character	1548	0.03	50	0	9	90	0	NA

diet

Distribution

Distribution of values for diet

1192 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
diet	character	1192	0.26	6	0	5	33	0	NA

first_heard_EA

Distribution

Distribution of values for first_heard_EA

1320 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
first_heard_EA	character	1320	0.18	10	0	5	23	0	NA

invovled_personal_contact

Distribution

Distribution of values for invovled_personal_contact

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
invovled_personal_contact	character	0	1	3	0	2	3	0	NA

involved_80K

Distribution

Distribution of values for involved_80K

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
involved_80K	character	0	1	3	0	2	3	0	NA

involved_TLYCS

Distribution

Distribution of values for involved_TLYCS

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
involved_TLYCS	character	0	1	3	0	2	3	0	NA

involved_lesswrong

Distribution

Distribution of values for involved_lesswrong

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
involved_lesswrong	character	0	1	3	0	2	3	0	NA

involved_GWWC

Distribution

Distribution of values for involved_GWWC

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
involved_GWWC	character	0	1	3	0	2	3	0	NA

involved_givewell

Distribution

Distribution of values for involved_givewell

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
involved_givewell	character	0	1	3	0	2	3	0	NA

involved_friends

Distribution

Distribution of values for involved_friends

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
involved_friends	character	0	1	3	0	2	3	0	NA

involved_online_ea

Distribution

Distribution of values for involved_online_ea

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
involved_online_ea	character	0	1	3	0	2	3	0	NA

involved_local_EA

Distribution

Distribution of values for involved_local_EA

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
involved_local_EA	character	0	1	3	0	2	3	0	NA

friendcount

Distribution

Distribution of values for friendcount

1324 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
friendcount	character	1324	0.17	4	0	11	15	0	NA

donate_2013_c

Distribution

Distribution of values for donate_2013_c

1372 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
donate_2013_c	character	1372	0.14	161	0	1	114	0	NA

income_2013_c

Distribution

Distribution of values for income_2013_c

1376 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
income_2013_c	character	1376	0.14	172	0	1	56	0	NA

donate_80K

Distribution

Distribution of values for donate_80K

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
donate_80K	character	0	1	3	0	2	3	0	NA

donate_amf

Distribution

Distribution of values for donate_amf

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
donate_amf	character	0	1	3	0	2	3	0	NA

donate_ace

Distribution

Distribution of values for donate_ace

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
donate_ace	character	0	1	3	0	2	3	0	NA

donate_cea

Distribution

Distribution of values for donate_cea

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
donate_cea	character	0	1	3	0	2	3	0	NA

donate_cfar

Distribution

Distribution of values for donate_cfar

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
donate_cfar	character	0	1	3	0	2	3	0	NA

donate_dtw

Distribution

Distribution of values for donate_dtw

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
donate_dtw	character	0	1	3	0	2	3	0	NA

donate_gd

Distribution

Distribution of values for donate_gd

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
donate_gd	character	0	1	3	0	2	3	0	NA

donate_gw

Distribution

Distribution of values for donate_gw

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
donate_gw	character	0	1	3	0	2	3	0	NA

donate_gwwc

Distribution

Distribution of values for donate_gwwc

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
donate_gwwc	character	0	1	3	0	2	3	0	NA

donate_thl

Distribution

Distribution of values for donate_thl

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
donate_thl	character	0	1	3	0	2	3	0	NA

donate_leverage

Distribution

Distribution of values for donate_leverage

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
donate_leverage	character	0	1	2	0	2	3	0	NA

donate_miri

Distribution

Distribution of values for donate_miri

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
donate_miri	character	0	1	3	0	2	3	0	NA

donate_phc

Distribution

Distribution of values for donate_phc

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
donate_phc	character	0	1	3	0	2	3	0	NA

donate_sci

Distribution

Distribution of values for donate_sci

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
donate_sci	character	0	1	3	0	2	3	0	NA

donate_vo

Distribution

Distribution of values for donate_vo

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
donate_vo	character	0	1	3	0	2	3	0	NA

career_path

Distribution

Distribution of values for career_path

1343 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
career_path	character	1343	0.16	5	0	5	30	0	NA

age

Distribution

Distribution of values for age

1330 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
age	character	1330	0.17	45	0	2	12	0	NA

gender

Distribution

Distribution of values for gender

1329 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
gender	character	1329	0.17	3	0	4	6	0	NA

student

Distribution

Distribution of values for student

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
student	character	0	1	3	0	2	3	0	NA

country

Distribution

Distribution of values for country

1321 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
country	character	1321	0.18	30	0	4	19	0	NA

city

Distribution

Distribution of values for city

1357 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
city	character	1357	0.15	159	0	2	37	0	NA

religion

Distribution

Distribution of values for religion

1329 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
religion	character	1329	0.17	5	0	5	34	0	NA

ea_id

Distribution

Distribution of values for ea_id

1377 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
ea_id	character	1377	0.14	220	0	32	32	0	NA

Missingness report

description	referrer_url	diet	metaethics	first_heard_EA	country	friendcount	gender	religion	age	career_path	city	donate_2013_c	income_2013_c	ea_id	cause_import_other	var_miss	n_miss
Missing values per variable	688	1.19e+03	1.2e+03	1.32e+03	1.32e+03	1.32e+03	1.33e+03	1.33e+03	1.33e+03	1.34e+03	1.36e+03	1.37e+03	1.38e+03	1.38e+03	1.55e+03	1.94e+04	1.94e+04
Missing values in 15 variables	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	15	679
Missing values in 14 variables	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	14	499
Missing values in 1 variables	1	1	1	1	1	1	1	1	1	1	1	1	1	1	0	1	103
Missing values in 12 variables	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	12	60
Missing values in 2 variables	1	1	1	1	1	1	1	1	1	1	1	1	1	0	0	2	21
Missing values in 0 variables	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	0	17
Missing values in 9 variables	1	1	1	1	0	1	0	0	0	0	0	0	0	1	0	9	17
103 other, less frequent patterns	100	95	86	64	76	61	68	69	67	59	53	51	49	51	24	572	206

Codebook table

JSON-LD metadata

The following JSON-LD can be found by search engines, if you share this codebook publicly on the web.

{
  "name": "d$eas_14",
  "datePublished": "2021-03-12",
  "description": "The dataset has N=1602 rows and 53 columns.\n17 rows have no missing values on any column.\n\n\n## Table of variables\nThis table contains variable names, labels, and number of missing values.\nSee the complete codebook for more.\n\n|name                              |label | n_missing|\n|:---------------------------------|:-----|---------:|\n|id                                |NA    |         0|\n|referrer_url                      |NA    |       688|\n|heard_ea                          |NA    |         0|\n|is_ea                             |NA    |         0|\n|metaethics                        |NA    |      1204|\n|cause_import_poverty              |NA    |         0|\n|cause_import_environmentalism     |NA    |         0|\n|cause_import_animals              |NA    |         0|\n|cause_import_rationality          |NA    |         0|\n|cause_import_politics             |NA    |         0|\n|cause_import_ai                   |NA    |         0|\n|cause_import_xrisk                |NA    |         0|\n|cause_import_non_ai_far_future    |NA    |         0|\n|cause_import_cause_prioritization |NA    |         0|\n|cause_import_meta                 |NA    |         0|\n|cause_import_other                |NA    |      1548|\n|diet                              |NA    |      1192|\n|first_heard_EA                    |NA    |      1320|\n|invovled_personal_contact         |NA    |         0|\n|involved_80K                      |NA    |         0|\n|involved_TLYCS                    |NA    |         0|\n|involved_lesswrong                |NA    |         0|\n|involved_GWWC                     |NA    |         0|\n|involved_givewell                 |NA    |         0|\n|involved_friends                  |NA    |         0|\n|involved_online_ea                |NA    |         0|\n|involved_local_EA                 |NA    |         0|\n|friendcount                       |NA    |      1324|\n|donate_2013_c                     |NA    |      1372|\n|income_2013_c                     |NA    |      1376|\n|donate_80K                        |NA    |         0|\n|donate_amf                        |NA    |         0|\n|donate_ace                        |NA    |         0|\n|donate_cea                        |NA    |         0|\n|donate_cfar                       |NA    |         0|\n|donate_dtw                        |NA    |         0|\n|donate_gd                         |NA    |         0|\n|donate_gw                         |NA    |         0|\n|donate_gwwc                       |NA    |         0|\n|donate_thl                        |NA    |         0|\n|donate_leverage                   |NA    |         0|\n|donate_miri                       |NA    |         0|\n|donate_phc                        |NA    |         0|\n|donate_sci                        |NA    |         0|\n|donate_vo                         |NA    |         0|\n|career_path                       |NA    |      1343|\n|age                               |NA    |      1330|\n|gender                            |NA    |      1329|\n|student                           |NA    |         0|\n|country                           |NA    |      1321|\n|city                              |NA    |      1357|\n|religion                          |NA    |      1329|\n|ea_id                             |NA    |      1377|\n\n### Note\nThis dataset was automatically described using the [codebook R package](https://rubenarslan.github.io/codebook/) (version 0.9.2).",
  "keywords": ["id", "referrer_url", "heard_ea", "is_ea", "metaethics", "cause_import_poverty", "cause_import_environmentalism", "cause_import_animals", "cause_import_rationality", "cause_import_politics", "cause_import_ai", "cause_import_xrisk", "cause_import_non_ai_far_future", "cause_import_cause_prioritization", "cause_import_meta", "cause_import_other", "diet", "first_heard_EA", "invovled_personal_contact", "involved_80K", "involved_TLYCS", "involved_lesswrong", "involved_GWWC", "involved_givewell", "involved_friends", "involved_online_ea", "involved_local_EA", "friendcount", "donate_2013_c", "income_2013_c", "donate_80K", "donate_amf", "donate_ace", "donate_cea", "donate_cfar", "donate_dtw", "donate_gd", "donate_gw", "donate_gwwc", "donate_thl", "donate_leverage", "donate_miri", "donate_phc", "donate_sci", "donate_vo", "career_path", "age", "gender", "student", "country", "city", "religion", "ea_id"],
  "@context": "http://schema.org/",
  "@type": "Dataset",
  "variableMeasured": [
    {
      "name": "id",
      "@type": "propertyValue"
    },
    {
      "name": "referrer_url",
      "@type": "propertyValue"
    },
    {
      "name": "heard_ea",
      "@type": "propertyValue"
    },
    {
      "name": "is_ea",
      "@type": "propertyValue"
    },
    {
      "name": "metaethics",
      "@type": "propertyValue"
    },
    {
      "name": "cause_import_poverty",
      "@type": "propertyValue"
    },
    {
      "name": "cause_import_environmentalism",
      "@type": "propertyValue"
    },
    {
      "name": "cause_import_animals",
      "@type": "propertyValue"
    },
    {
      "name": "cause_import_rationality",
      "@type": "propertyValue"
    },
    {
      "name": "cause_import_politics",
      "@type": "propertyValue"
    },
    {
      "name": "cause_import_ai",
      "@type": "propertyValue"
    },
    {
      "name": "cause_import_xrisk",
      "@type": "propertyValue"
    },
    {
      "name": "cause_import_non_ai_far_future",
      "@type": "propertyValue"
    },
    {
      "name": "cause_import_cause_prioritization",
      "@type": "propertyValue"
    },
    {
      "name": "cause_import_meta",
      "@type": "propertyValue"
    },
    {
      "name": "cause_import_other",
      "@type": "propertyValue"
    },
    {
      "name": "diet",
      "@type": "propertyValue"
    },
    {
      "name": "first_heard_EA",
      "@type": "propertyValue"
    },
    {
      "name": "invovled_personal_contact",
      "@type": "propertyValue"
    },
    {
      "name": "involved_80K",
      "@type": "propertyValue"
    },
    {
      "name": "involved_TLYCS",
      "@type": "propertyValue"
    },
    {
      "name": "involved_lesswrong",
      "@type": "propertyValue"
    },
    {
      "name": "involved_GWWC",
      "@type": "propertyValue"
    },
    {
      "name": "involved_givewell",
      "@type": "propertyValue"
    },
    {
      "name": "involved_friends",
      "@type": "propertyValue"
    },
    {
      "name": "involved_online_ea",
      "@type": "propertyValue"
    },
    {
      "name": "involved_local_EA",
      "@type": "propertyValue"
    },
    {
      "name": "friendcount",
      "@type": "propertyValue"
    },
    {
      "name": "donate_2013_c",
      "@type": "propertyValue"
    },
    {
      "name": "income_2013_c",
      "@type": "propertyValue"
    },
    {
      "name": "donate_80K",
      "@type": "propertyValue"
    },
    {
      "name": "donate_amf",
      "@type": "propertyValue"
    },
    {
      "name": "donate_ace",
      "@type": "propertyValue"
    },
    {
      "name": "donate_cea",
      "@type": "propertyValue"
    },
    {
      "name": "donate_cfar",
      "@type": "propertyValue"
    },
    {
      "name": "donate_dtw",
      "@type": "propertyValue"
    },
    {
      "name": "donate_gd",
      "@type": "propertyValue"
    },
    {
      "name": "donate_gw",
      "@type": "propertyValue"
    },
    {
      "name": "donate_gwwc",
      "@type": "propertyValue"
    },
    {
      "name": "donate_thl",
      "@type": "propertyValue"
    },
    {
      "name": "donate_leverage",
      "@type": "propertyValue"
    },
    {
      "name": "donate_miri",
      "@type": "propertyValue"
    },
    {
      "name": "donate_phc",
      "@type": "propertyValue"
    },
    {
      "name": "donate_sci",
      "@type": "propertyValue"
    },
    {
      "name": "donate_vo",
      "@type": "propertyValue"
    },
    {
      "name": "career_path",
      "@type": "propertyValue"
    },
    {
      "name": "age",
      "@type": "propertyValue"
    },
    {
      "name": "gender",
      "@type": "propertyValue"
    },
    {
      "name": "student",
      "@type": "propertyValue"
    },
    {
      "name": "country",
      "@type": "propertyValue"
    },
    {
      "name": "city",
      "@type": "propertyValue"
    },
    {
      "name": "religion",
      "@type": "propertyValue"
    },
    {
      "name": "ea_id",
      "@type": "propertyValue"
    }
  ]
}`